Tag: ML

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RBF

The Gaussian RBF (radial basis function) kernel is a kernel trick method that projects a new feature space in higher dimensions by measuring the distance between all data examples and data examples that are defined as centers.

regularization

In machine learning, regularization is a method by which the ML model cost/error function is changed, to include an extra variable called the regularization hyperparameter. There are two basic types of regularization: L1-norm (lasso regression) and L2-norm (ridge regression). The lasso regularization uses the L1 norm parameter. The lasso regularized cost function is calculated as ... Read more

ReLU function

The ReLU (rectified linear unit function) function is an ANN activation function which calculates a linear function of the inputs. If the result is positive, it outputs that result. If it is negative, it outputs 0. The mathematical formula for the ReLU function is f (x) = max(0, x). The graph of the ReLU function ... Read more

Responsible AI

While AI technologies advance, there are various ethical, legal, security and privacy considerations which must be taken into account. These considerations are commonly referred to as "Responsible AI". Each AI software and hardware vendor classifies responsible AI and AI ethics areas differently. Some example areas which constitute Responsible AI are the following: Explainability and interpretability ... Read more

RMSE

RMSE is simply the root of the MSE statistical metric. RMSE stands for Root Mean Squared Error. The RMSE is in the same metric scale as the observed parameters, same as the MAE metric. RMSE is a calculation for the standard deviation of residuals. Compared to RMSE, MSE is a calculation of the variance of ... Read more

RNN

RNN stands for recurrent neural network and is a type of artificial neural network (ANN) which is a non feed-forward neural network (FNN). This means that an RNN accommodates for information flow from left to right but also from right to left. This is because an RNN typically features one or more memory cells inside ... Read more

ROC curve

The ROC curve is the receiver operating characteristic curve. It is a method of plotting the relationship between estimated hits (true positive rate) versus false alarms (false positive rate) in machine learning classification models.